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Developer Advocate, AI Agents

Meta

Developer Advocate, AI Agents

Meta

Menlo Park, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$173,000 - $173,000

Benefits & Perks

Flexible PTO policy

Remote work flexibility

Top Tier compensation with equity

Health, dental, and vision coverage

Learning and development stipend

Required Skills

Python

Airflow

SQL

Meta is seeking an experienced Developer Advocate to support the rapidly evolving landscape of internal AI agent tools built by its own developers and that support our employees. Meta invests heavily in creating and maintaining tools that improve employee productivity and satisfaction. The developer advocate role is an important part of ensuring tools are adopted and used to their maximum potential. In this role, the focus will be on AI-related tools. These tools are reshaping the software engineering landscape. Meta's development of Llama and other AI models and tools puts us on the cutting edge of this space.

Developer Advocate, AI Agents Responsibilities:

  • Advocate for and build alignment for AI agent tools and proposals within Meta's internal developer community
  • Create code samples, demos, prototypes, articles, and tutorials to engage internal technical audiences and promote our AI agent tools
  • Establish credibility with internal stakeholders as a thought leader to enable collaboration and common goals in the AI agent space
  • Collaborate with internal teams to understand and support strategies for building and engaging the internal developer community around AI agent tools
  • Grow, manage, and maintain a well-received internal profile with Meta's developer community at large regarding AI agent tools

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of software engineering or developer relations experience
  • Demonstrated technical digital content, communication, and presentation skills
  • Experience leading, building, and supporting developer tools, SDKs, APIs, or platforms
  • Proven experience collaborating across engineering, product, and user communities
  • Demonstrated experience leveraging data and analytics to understand developer needs and measure effectiveness of advocacy efforts
  • Experience advocating for developer needs and demonstrated impact in driving adoption of technical solutions
  • 1+ years of experience using GitHub Copilot, Claude Code, Cursor, or other AI-assisted development tools

Preferred Qualifications:

  • Subject matter expertise on agentic orchestration patterns like Re Act, tool use (or function calling), memory, etc
  • Experience building AI-assisted tools either custom or with technologies like Lang Chain, Llama Index, Haystack, etc
  • Experience presenting at industry conferences or creating technical blogs/articles
  • Contributions to relevant open-source projects

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$173,000/year to $247,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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About Meta

Meta

Meta

Public

A social technology company that enables people to connect, find communities, and grow businesses.

10,001+

Employees

Menlo Park

Headquarters

$800B

Valuation

Reviews

3.4

26 reviews

Work Life Balance

2.3

Compensation

4.2

Culture

2.8

Career

3.1

Management

2.1

45%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Fast-paced and challenging work environment

Cons

Frequent layoffs and job insecurity

Poor leadership and management accountability

High stress and competitive work environment

Salary Ranges

40,175 data points

Mid/L4

Mid/L4 · Data Scientist

3,113 reports

$284,667

total / year

Base

$179,458

Stock

$79,981

Bonus

$25,228

$193,897

$434,902

Interview Experience

6 interviews

Difficulty

4.2

/ 5

Duration

21-35 weeks

Offer Rate

17%

Experience

Positive 17%

Neutral 17%

Negative 66%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Coding Interviews

6

System Design Interview

7

Behavioral Interview

8

Final Loop/Hiring Manager Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Live Coding